Article

Boosting Gene Expression Clustering with System-Wide Biological Information: A Robust Autoencoder Approach

2017-11-05

Abstract excerpt

Gene expression analysis provides genome-wide insights into the transcriptional activity of a cell. One of the first computational steps in exploration and analysis of the gene expression data is clustering. With a number of standard clustering methods routinely used, most of the methods do not take prior biological information into account. In this paper, we propose a new approach for gene expression clustering a...

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Literature Corpus work: d6d45dc5-4952-5bb9-b623-3a0044a8026f
DOI: 10.1101/214122

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